Dataset statistics
| Number of variables | 17 |
|---|---|
| Number of observations | 11738 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 1.5 MiB |
| Average record size in memory | 136.0 B |
Variable types
| Numeric | 14 |
|---|---|
| DateTime | 1 |
| Categorical | 2 |
tweet has a high cardinality: 11734 distinct values | High cardinality |
mentions is highly correlated with hashtags and 4 other fields | High correlation |
hashtags is highly correlated with mentions and 4 other fields | High correlation |
video is highly correlated with mentions and 4 other fields | High correlation |
photos is highly correlated with hashtags and 3 other fields | High correlation |
urls is highly correlated with mentions | High correlation |
thumbnail is highly correlated with mentions and 4 other fields | High correlation |
replies_count is highly correlated with retweets_count and 1 other fields | High correlation |
retweets_count is highly correlated with replies_count and 1 other fields | High correlation |
likes_count is highly correlated with replies_count and 1 other fields | High correlation |
number of tweets is highly correlated with mentions and 4 other fields | High correlation |
mentions is highly correlated with hashtags and 4 other fields | High correlation |
hashtags is highly correlated with mentions and 4 other fields | High correlation |
video is highly correlated with mentions and 5 other fields | High correlation |
photos is highly correlated with mentions and 4 other fields | High correlation |
urls is highly correlated with mentions and 2 other fields | High correlation |
thumbnail is highly correlated with mentions and 5 other fields | High correlation |
replies_count is highly correlated with retweets_count and 1 other fields | High correlation |
retweets_count is highly correlated with replies_count and 1 other fields | High correlation |
likes_count is highly correlated with replies_count and 1 other fields | High correlation |
number of tweets is highly correlated with hashtags and 3 other fields | High correlation |
df_index is highly correlated with cashtags | High correlation |
mentions is highly correlated with cashtags | High correlation |
hashtags is highly correlated with cashtags | High correlation |
cashtags is highly correlated with df_index and 2 other fields | High correlation |
replies_count is highly correlated with retweets_count and 1 other fields | High correlation |
retweets_count is highly correlated with replies_count and 1 other fields | High correlation |
likes_count is highly correlated with replies_count and 1 other fields | High correlation |
thumbnail is highly correlated with hashtags and 3 other fields | High correlation |
likes_count is highly correlated with retweets_count and 1 other fields | High correlation |
hashtags is highly correlated with thumbnail and 3 other fields | High correlation |
urls is highly correlated with mentions | High correlation |
price is highly correlated with username and 1 other fields | High correlation |
retweets_count is highly correlated with likes_count and 1 other fields | High correlation |
username is highly correlated with price | High correlation |
photos is highly correlated with thumbnail and 3 other fields | High correlation |
replies_count is highly correlated with likes_count and 1 other fields | High correlation |
video is highly correlated with thumbnail and 3 other fields | High correlation |
number of tweets is highly correlated with thumbnail and 4 other fields | High correlation |
df_index is highly correlated with price | High correlation |
mentions is highly correlated with urls and 1 other fields | High correlation |
cashtags is highly skewed (γ1 = 27.67940974) | Skewed |
tweet is uniformly distributed | Uniform |
mentions has 5780 (49.2%) zeros | Zeros |
hashtags has 7273 (62.0%) zeros | Zeros |
cashtags has 11655 (99.3%) zeros | Zeros |
video has 5100 (43.4%) zeros | Zeros |
photos has 5477 (46.7%) zeros | Zeros |
urls has 4334 (36.9%) zeros | Zeros |
thumbnail has 5100 (43.4%) zeros | Zeros |
retweets_count has 137 (1.2%) zeros | Zeros |
percent change has 317 (2.7%) zeros | Zeros |
Reproduction
| Analysis started | 2021-09-19 15:59:33.350534 |
|---|---|
| Analysis finished | 2021-09-19 16:00:18.326232 |
| Duration | 44.98 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 3415 |
|---|---|
| Distinct (%) | 29.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1150.600699 |
| Minimum | 0 |
|---|---|
| Maximum | 3414 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 91.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 125 |
| Q1 | 516 |
| median | 1015 |
| Q3 | 1633.75 |
| 95-th percentile | 2827.15 |
| Maximum | 3414 |
| Range | 3414 |
| Interquartile range (IQR) | 1117.75 |
Descriptive statistics
| Standard deviation | 794.5884952 |
|---|---|
| Coefficient of variation (CV) | 0.6905857924 |
| Kurtosis | 0.08044100403 |
| Mean | 1150.600699 |
| Median Absolute Deviation (MAD) | 547 |
| Skewness | 0.7910189729 |
| Sum | 13505751 |
| Variance | 631370.8767 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 843 | 6 | 0.1% |
| 650 | 6 | 0.1% |
| 638 | 6 | 0.1% |
| 639 | 6 | 0.1% |
| 640 | 6 | 0.1% |
| 641 | 6 | 0.1% |
| 642 | 6 | 0.1% |
| 643 | 6 | 0.1% |
| 644 | 6 | 0.1% |
| 645 | 6 | 0.1% |
| Other values (3405) | 11678 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
| Value | Count | Frequency (%) |
| 3414 | 1 | |
| 3413 | 1 | |
| 3412 | 1 | |
| 3411 | 1 | |
| 3410 | 1 | |
| 3409 | 1 | |
| 3408 | 1 | |
| 3407 | 1 | |
| 3406 | 1 | |
| 3405 | 1 |
date
Date
| Distinct | 3570 |
|---|---|
| Distinct (%) | 30.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 91.8 KiB |
| Minimum | 2016-08-23 09:30:00 |
|---|---|
| Maximum | 2021-07-20 16:00:00 |
| Distinct | 11734 |
|---|---|
| Distinct (%) | > 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 91.8 KiB |
| This is great | 3 |
|---|---|
| Good morning | 2 |
| Facts | 2 |
| Journalist Q&A for 30 mins and embargo ends at 12:30 Tesla product announcement at noon California time today | 1 |
| My latest episode on @SXMInsight with @DMiliband: https://t.co/HHbydG9unD https://t.co/s4pdn31tKT It’s been a pleasure working with @yaniksilver and co on solving problems big and small over the past decade: https://t.co/FTtnyLr7wT @VirginUnite https://t.co/4TQQqKUAEz Welcome to the @Virgin_Orbit team Stanny! https://t.co/Py9TGLRaUV #VirginFamily https://t.co/tEb30o08hW An incredible act of compassion and a powerful image as Brant Jean forgives and embraces the woman who killed his brother: https://t.co/inxrNpgmGB #ReadByRichard https://t.co/5IjfFn8Zoc | 1 |
| Other values (11729) |
Length
| Max length | 11161 |
|---|---|
| Median length | 342 |
| Mean length | 543.682825 |
| Min length | 1 |
Characters and Unicode
| Total characters | 6381749 |
|---|---|
| Distinct characters | 968 |
| Distinct categories | 23 ? |
| Distinct scripts | 12 ? |
| Distinct blocks | 31 ? |
Unique
| Unique | 11731 ? |
|---|---|
| Unique (%) | 99.9% |
Sample
| 1st row | Journalist Q&A for 30 mins and embargo ends at 12:30 Tesla product announcement at noon California time today |
|---|---|
| 2nd row | @Kotaku one of my favorite games as a kid @BelovedRevol Making progress. Maybe something to announce in a few months. Have played all prior Deus Ex. Not this one yet. |
| 3rd row | Thanks for the longstanding faith in SpaceX. We very much look forward to doing this milestone flight with you. https://t.co/U2UFez0OhY |
| 4th row | @Lockyep Not allowed, according to HK regulations. Happy to do it if regs change. We need to do one more minor rev on 8.0 and then will go to wide release in a few weeks Writing post now with details. Will publish on Tesla website later today. Major improvements to Autopilot coming with V8.0 and 8.1 software (std OTA update) primarily through advanced processing of radar signals @newscientist uh oh |
| 5th row | Loss of Falcon vehicle today during propellant fill operation. Originated around upper stage oxygen tank. Cause still unknown. More soon. |
Common Values
| Value | Count | Frequency (%) |
| This is great | 3 | < 0.1% |
| Good morning | 2 | < 0.1% |
| Facts | 2 | < 0.1% |
| Journalist Q&A for 30 mins and embargo ends at 12:30 Tesla product announcement at noon California time today | 1 | < 0.1% |
| My latest episode on @SXMInsight with @DMiliband: https://t.co/HHbydG9unD https://t.co/s4pdn31tKT It’s been a pleasure working with @yaniksilver and co on solving problems big and small over the past decade: https://t.co/FTtnyLr7wT @VirginUnite https://t.co/4TQQqKUAEz Welcome to the @Virgin_Orbit team Stanny! https://t.co/Py9TGLRaUV #VirginFamily https://t.co/tEb30o08hW An incredible act of compassion and a powerful image as Brant Jean forgives and embraces the woman who killed his brother: https://t.co/inxrNpgmGB #ReadByRichard https://t.co/5IjfFn8Zoc | 1 | < 0.1% |
| “Life isn’t about 'finding' fulfilment and success – it’s about creating it. Why then has creativity been given a back seat in our culture? No longer.” – @ChaseJarvis https://t.co/8ymDrvjWgD #CreativeCalling https://t.co/5gmZWUgnxP One to add to your podcast list this week – this episode of Earth Unscrewed has a fascinating discussion with sustainability scientist Johan Rockström https://t.co/MUuYtNHoKd #podcasts | 1 | < 0.1% |
| Sporting the ocean-inspired t-shirt I designed, one of @OceanUnite’s new range of circular economy t-shirts available on their @Teemillstore. All proceeds go to support their work to rebuild #ocean health and #resilience. https://t.co/sPQKYvwqIK https://t.co/ql9KjWqn7W Over the years I’ve had to make a conscious effort to put my health and fitness first (after all, you only have one body, so it makes sense to try and look after it!) https://t.co/4NtyHBREru | 1 | < 0.1% |
| It’s difficult to imagine how any country can maximise its potential by ignoring significant populations of stateless people. My take on statelessness and how to solve it https://t.co/R5gRApf5pa #IBelong @Refugees https://t.co/SoGgG1rJtb Continued and growing statelessness is an enormous challenge for humanity. But the optimist in me tries to see the upside: when given an identity, a sense of belonging, people will be able to fulfil their true potential https://t.co/R5gRApwGNK #IBelong @Refugees https://t.co/eOlZGydmsS No one should have to suffer the indignity and exclusion that comes with being stateless. My take on a problem affecting millions around the world https://t.co/R5gRApwGNK #IBelong @Refugees https://t.co/QQcJM9spVr | 1 | < 0.1% |
| Wonderful bringing together leaders from organisations @VirginUnite has incubated to strengthen and celebrate the connections between them https://t.co/JFHfetYuVI @VirginUnite @thebteamhq @TheElders @RockyMtnInst @_thenewnow @oceanunite @ccs_accelerator @bigchange_ https://t.co/FLR0NMG3B1 Looking forward to seeing the pitches! When we work closely together in new combinations and collaborations, one plus one can equal three https://t.co/JFHfetYuVI @VirginUnite @thebteamhq @TheElders @RockyMtnInst @_thenewnow @oceanunite @ccs_accelerator @bigchange_ https://t.co/YkzKKADQQf Holly sat down with some businesses that are all about impact to hear their start-up stories: https://t.co/FjlnGuRwnJ @HollyBranson https://t.co/A6aygtSu5J Congratulations @VirginLimitedEd – great to see all four African properties featuring in @CNTraveler’s Readers’ Choice awards 2019 for best hotels & resorts in Africa #Ulusaba #KasbahTamadot #MahaliMzuri #MontRochelle | 1 | < 0.1% |
| Great to see @OneLessBTL are tackling ocean plastic pollution at source – working to transform London into a place where single-use bottled water is a thing of the past: https://t.co/9Pf55goDuL #GoodbyeOceanPlastic #OneLess https://t.co/bif4GPwvKL When brilliant people collaborate on projects to have a positive impact in the world, magic can happen https://t.co/JFHfetYuVI @VirginUnite @thebteamhq @TheElders @RockyMtnInst @_thenewnow @oceanunite @ccs_accelerator @bigchange_ https://t.co/Mg10IxB4xU Exciting news involving @virgingalactic and @Boeing: https://t.co/O9yQrP1QFX https://t.co/zAkcdEl3XK Sustainable investing and diversity is good for business. Here’s the data to prove it: https://t.co/CZ4u4ulciZ #ReadByRichard | 1 | < 0.1% |
| Other values (11724) | 11724 |
Length
| Value | Count | Frequency (%) |
| to | 25098 | 2.9% |
| the | 24839 | 2.8% |
| a | 14267 | 1.6% |
| of | 12402 | 1.4% |
| and | 11795 | 1.3% |
| you | 11386 | 1.3% |
| tmobile | 11035 | 1.3% |
| for | 10138 | 1.2% |
| is | 9926 | 1.1% |
| in | 9618 | 1.1% |
| Other values (103850) | 738118 |
Most occurring characters
| Value | Count | Frequency (%) |
| 911705 | 14.3% | |
| e | 481710 | 7.5% |
| t | 429934 | 6.7% |
| o | 381697 | 6.0% |
| a | 328603 | 5.1% |
| i | 291106 | 4.6% |
| s | 271861 | 4.3% |
| n | 270319 | 4.2% |
| r | 252987 | 4.0% |
| l | 200026 | 3.1% |
| Other values (958) | 2561801 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 4329229 | |
| Space Separator | 912063 | 14.3% |
| Uppercase Letter | 495181 | 7.8% |
| Other Punctuation | 442901 | 6.9% |
| Decimal Number | 128960 | 2.0% |
| Other Symbol | 19696 | 0.3% |
| Final Punctuation | 16636 | 0.3% |
| Connector Punctuation | 9487 | 0.1% |
| Dash Punctuation | 9168 | 0.1% |
| Close Punctuation | 4843 | 0.1% |
| Other values (13) | 13585 | 0.2% |
Most frequent character per category
Other Symbol
| Value | Count | Frequency (%) |
| 🙌 | 2088 | 10.6% |
| 😂 | 1403 | 7.1% |
| 😉 | 1060 | 5.4% |
| ❤ | 801 | 4.1% |
| 👍 | 653 | 3.3% |
| 🤣 | 563 | 2.9% |
| 😎 | 396 | 2.0% |
| 🤔 | 364 | 1.8% |
| 🎉 | 360 | 1.8% |
| ✌ | 334 | 1.7% |
| Other values (743) | 11674 |
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 481710 | 11.1% |
| t | 429934 | 9.9% |
| o | 381697 | 8.8% |
| a | 328603 | 7.6% |
| i | 291106 | 6.7% |
| s | 271861 | 6.3% |
| n | 270319 | 6.2% |
| r | 252987 | 5.8% |
| l | 200026 | 4.6% |
| h | 195931 | 4.5% |
| Other values (50) | 1225055 |
Uppercase Letter
| Value | Count | Frequency (%) |
| T | 51451 | 10.4% |
| M | 38265 | 7.7% |
| S | 32451 | 6.6% |
| I | 28205 | 5.7% |
| A | 25462 | 5.1% |
| C | 23244 | 4.7% |
| W | 22180 | 4.5% |
| E | 19029 | 3.8% |
| B | 18658 | 3.8% |
| H | 17680 | 3.6% |
| Other values (36) | 218556 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 114055 | |
| @ | 93795 | |
| . | 77691 | |
| ! | 44038 | 9.9% |
| : | 43169 | 9.7% |
| , | 20626 | 4.7% |
| # | 16437 | 3.7% |
| ? | 9011 | 2.0% |
| ; | 8142 | 1.8% |
| & | 6632 | 1.5% |
| Other values (12) | 9305 | 2.1% |
Other Letter
| Value | Count | Frequency (%) |
| ツ | 36 | |
| 中 | 1 | 2.0% |
| 南 | 1 | 2.0% |
| 海 | 1 | 2.0% |
| 紫 | 1 | 2.0% |
| 光 | 1 | 2.0% |
| 阁 | 1 | 2.0% |
| 𖨆 | 1 | 2.0% |
| 안 | 1 | 2.0% |
| 녕 | 1 | 2.0% |
| Other values (5) | 5 | 10.0% |
Math Symbol
| Value | Count | Frequency (%) |
| + | 461 | |
| ~ | 303 | |
| = | 277 | |
| | | 38 | 3.4% |
| ◻ | 16 | 1.4% |
| ⤵ | 3 | 0.3% |
| ∩ | 2 | 0.2% |
| ≥ | 2 | 0.2% |
| ↔ | 2 | 0.2% |
| √ | 1 | 0.1% |
| Other values (4) | 4 | 0.4% |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 19711 | |
| 0 | 18564 | |
| 2 | 15944 | |
| 3 | 11977 | |
| 5 | 11436 | |
| 4 | 10807 | |
| 7 | 10424 | |
| 9 | 10394 | |
| 8 | 10227 | |
| 6 | 9475 |
Modifier Symbol
| Value | Count | Frequency (%) |
| 🏼 | 2466 | |
| 🏻 | 952 | 26.4% |
| ¯ | 72 | 2.0% |
| 🏽 | 65 | 1.8% |
| ^ | 17 | 0.5% |
| 🏿 | 17 | 0.5% |
|  ̄ | 16 | 0.4% |
| ´ | 3 | 0.1% |
Format
| Value | Count | Frequency (%) |
| | 458 | |
| | 431 | |
| | 424 | |
| | 146 | 10.0% |
| | 2 | 0.1% |
| | 1 | 0.1% |
Space Separator
| Value | Count | Frequency (%) |
| 911705 | ||
| 349 | < 0.1% | |
| 6 | < 0.1% | |
| 2 | < 0.1% | |
| 1 | < 0.1% |
Currency Symbol
| Value | Count | Frequency (%) |
| $ | 1702 | |
| £ | 35 | 2.0% |
| € | 1 | 0.1% |
| ₿ | 1 | 0.1% |
| ₹ | 1 | 0.1% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 7220 | |
| – | 1572 | 17.1% |
| — | 375 | 4.1% |
| ― | 1 | < 0.1% |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 1590 | |
| [ | 16 | 1.0% |
| { | 1 | 0.1% |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 4826 | |
| ] | 15 | 0.3% |
| } | 2 | < 0.1% |
Final Punctuation
| Value | Count | Frequency (%) |
| ’ | 15076 | |
| ” | 1559 | 9.4% |
| » | 1 | < 0.1% |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 9472 | |
| _ | 15 | 0.2% |
Initial Punctuation
| Value | Count | Frequency (%) |
| “ | 1579 | |
| ‘ | 168 | 9.6% |
Nonspacing Mark
| Value | Count | Frequency (%) |
| ️ | 2172 |
Enclosing Mark
| Value | Count | Frequency (%) |
| ⃣ | 57 |
Modifier Letter
| Value | Count | Frequency (%) |
| ʻ | 1 |
Control
| Value | Count | Frequency (%) |
| 30 |
Other Number
| Value | Count | Frequency (%) |
| ½ | 1 |
Private Use
| Value | Count | Frequency (%) |
| | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4824341 | |
| Common | 1554634 | 24.4% |
| Inherited | 2660 | < 0.1% |
| Cyrillic | 39 | < 0.1% |
| Katakana | 36 | < 0.1% |
| Braille | 19 | < 0.1% |
| Han | 6 | < 0.1% |
| Hangul | 6 | < 0.1% |
| Greek | 5 | < 0.1% |
| Bamum | 1 | < 0.1% |
| Other values (2) | 2 | < 0.1% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 911705 | ||
| / | 114055 | 7.3% |
| @ | 93795 | 6.0% |
| . | 77691 | 5.0% |
| ! | 44038 | 2.8% |
| : | 43169 | 2.8% |
| , | 20626 | 1.3% |
| 1 | 19711 | 1.3% |
| 0 | 18564 | 1.2% |
| # | 16437 | 1.1% |
| Other values (850) | 194843 | 12.5% |
Latin
| Value | Count | Frequency (%) |
| e | 481710 | 10.0% |
| t | 429934 | 8.9% |
| o | 381697 | 7.9% |
| a | 328603 | 6.8% |
| i | 291106 | 6.0% |
| s | 271861 | 5.6% |
| n | 270319 | 5.6% |
| r | 252987 | 5.2% |
| l | 200026 | 4.1% |
| h | 195931 | 4.1% |
| Other values (58) | 1720167 |
Cyrillic
| Value | Count | Frequency (%) |
| о | 9 | |
| в | 4 | |
| К | 3 | 7.7% |
| р | 3 | 7.7% |
| л | 3 | 7.7% |
| д | 2 | 5.1% |
| к | 2 | 5.1% |
| ё | 2 | 5.1% |
| и | 2 | 5.1% |
| а | 1 | 2.6% |
| Other values (8) | 8 |
Han
| Value | Count | Frequency (%) |
| 中 | 1 | |
| 南 | 1 | |
| 海 | 1 | |
| 紫 | 1 | |
| 光 | 1 | |
| 阁 | 1 |
Hangul
| Value | Count | Frequency (%) |
| 안 | 1 | |
| 녕 | 1 | |
| 하 | 1 | |
| 세 | 1 | |
| 요 | 1 | |
| ㅅ | 1 |
Inherited
| Value | Count | Frequency (%) |
| ️ | 2172 | |
| | 431 | 16.2% |
| ⃣ | 57 | 2.1% |
Greek
| Value | Count | Frequency (%) |
| Δ | 4 | |
| θ | 1 | 20.0% |
Bamum
| Value | Count | Frequency (%) |
| 𖨆 | 1 |
Katakana
| Value | Count | Frequency (%) |
| ツ | 36 |
Hiragana
| Value | Count | Frequency (%) |
| づ | 1 |
Unknown
| Value | Count | Frequency (%) |
| | 1 |
Braille
| Value | Count | Frequency (%) |
| ⠀ | 19 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6331502 | |
| Punctuation | 23951 | 0.4% |
| None | 12707 | 0.2% |
| Emoticons | 7440 | 0.1% |
| VS | 2172 | < 0.1% |
| Dingbats | 1503 | < 0.1% |
| Misc Symbols | 1009 | < 0.1% |
| Latin 1 Sup | 682 | < 0.1% |
| Enclosed Alphanum Sup | 549 | < 0.1% |
| Misc Technical | 43 | < 0.1% |
| Other values (21) | 191 | < 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 911705 | 14.4% | |
| e | 481710 | 7.6% |
| t | 429934 | 6.8% |
| o | 381697 | 6.0% |
| a | 328603 | 5.2% |
| i | 291106 | 4.6% |
| s | 271861 | 4.3% |
| n | 270319 | 4.3% |
| r | 252987 | 4.0% |
| l | 200026 | 3.2% |
| Other values (83) | 2511554 |
Punctuation
| Value | Count | Frequency (%) |
| ’ | 15076 | |
| … | 2216 | 9.3% |
| “ | 1579 | 6.6% |
| – | 1572 | 6.6% |
| ” | 1559 | 6.5% |
| | 458 | 1.9% |
| | 431 | 1.8% |
| | 424 | 1.8% |
| — | 375 | 1.6% |
| ‘ | 168 | 0.7% |
| Other values (9) | 93 | 0.4% |
Dingbats
| Value | Count | Frequency (%) |
| ❤ | 801 | |
| ✌ | 334 | |
| ✅ | 135 | 9.0% |
| ✈ | 56 | 3.7% |
| ❄ | 54 | 3.6% |
| ✔ | 25 | 1.7% |
| ✨ | 21 | 1.4% |
| ❌ | 13 | 0.9% |
| ➡ | 12 | 0.8% |
| ✂ | 12 | 0.8% |
| Other values (13) | 40 | 2.7% |
VS
| Value | Count | Frequency (%) |
| ️ | 2172 |
Emoticons
| Value | Count | Frequency (%) |
| 🙌 | 2088 | |
| 😂 | 1403 | |
| 😉 | 1060 | |
| 😎 | 396 | 5.3% |
| 😊 | 311 | 4.2% |
| 😁 | 283 | 3.8% |
| 😍 | 190 | 2.6% |
| 🙏 | 171 | 2.3% |
| 😀 | 162 | 2.2% |
| 😏 | 154 | 2.1% |
| Other values (60) | 1222 |
None
| Value | Count | Frequency (%) |
| 🏼 | 2466 | 19.4% |
| 🏻 | 952 | 7.5% |
| 👍 | 653 | 5.1% |
| 🤣 | 563 | 4.4% |
| 🤔 | 364 | 2.9% |
| 🎉 | 360 | 2.8% |
| 👏 | 283 | 2.2% |
| 📱 | 255 | 2.0% |
| 👀 | 220 | 1.7% |
| 🔥 | 215 | 1.7% |
| Other values (571) | 6376 |
Latin 1 Sup
| Value | Count | Frequency (%) |
| 349 | ||
| | 146 | |
| ¯ | 72 | 10.6% |
| £ | 35 | 5.1% |
| é | 23 | 3.4% |
| ö | 13 | 1.9% |
| ç | 8 | 1.2% |
| ü | 7 | 1.0% |
| § | 7 | 1.0% |
| ° | 5 | 0.7% |
| Other values (12) | 17 | 2.5% |
Enclosed Alphanum Sup
| Value | Count | Frequency (%) |
| 🇸 | 92 | |
| 🇺 | 91 | |
| 🇳 | 51 | |
| 🇮 | 38 | 6.9% |
| 🇵 | 37 | 6.7% |
| 🇬 | 29 | 5.3% |
| 🆓 | 29 | 5.3% |
| 🇯 | 27 | 4.9% |
| 🆕 | 22 | 4.0% |
| 🇷 | 18 | 3.3% |
| Other values (17) | 115 |
Misc Symbols
| Value | Count | Frequency (%) |
| ♂ | 248 | |
| ♥ | 136 | |
| ⚾ | 114 | |
| ⚡ | 80 | 7.9% |
| ☺ | 61 | 6.0% |
| ☕ | 56 | 5.6% |
| ☀ | 50 | 5.0% |
| ♀ | 46 | 4.6% |
| ☁ | 21 | 2.1% |
| ☝ | 20 | 2.0% |
| Other values (35) | 177 |
Currency Symbols
| Value | Count | Frequency (%) |
| € | 1 | |
| ₿ | 1 | |
| ₹ | 1 |
CJK
| Value | Count | Frequency (%) |
| 中 | 1 | |
| 南 | 1 | |
| 海 | 1 | |
| 紫 | 1 | |
| 光 | 1 | |
| 阁 | 1 |
Latin Ext A
| Value | Count | Frequency (%) |
| ō | 2 | |
| ā | 2 | |
| ē | 1 | |
| ū | 1 |
Math Operators
| Value | Count | Frequency (%) |
| ∩ | 2 | |
| ≥ | 2 | |
| √ | 1 | |
| ∆ | 1 | |
| ≠ | 1 |
Letterlike Symbols
| Value | Count | Frequency (%) |
| ™ | 7 | |
| ℏ | 2 | 22.2% |
Cyrillic
| Value | Count | Frequency (%) |
| о | 9 | |
| в | 4 | |
| К | 3 | 7.7% |
| р | 3 | 7.7% |
| л | 3 | 7.7% |
| д | 2 | 5.1% |
| к | 2 | 5.1% |
| ё | 2 | 5.1% |
| и | 2 | 5.1% |
| а | 1 | 2.6% |
| Other values (8) | 8 |
Bamum Sup
| Value | Count | Frequency (%) |
| 𖨆 | 1 |
Sup Arrows B
| Value | Count | Frequency (%) |
| ⤵ | 3 |
Katakana
| Value | Count | Frequency (%) |
| ツ | 36 |
Misc Technical
| Value | Count | Frequency (%) |
| ⌚ | 23 | |
| ⏰ | 8 | 18.6% |
| ⏱ | 4 | 9.3% |
| ⏲ | 4 | 9.3% |
| ⏩ | 1 | 2.3% |
| ⏭ | 1 | 2.3% |
| ⌨ | 1 | 2.3% |
| ⏳ | 1 | 2.3% |
Hangul
| Value | Count | Frequency (%) |
| 안 | 1 | |
| 녕 | 1 | |
| 하 | 1 | |
| 세 | 1 | |
| 요 | 1 |
Arrows
| Value | Count | Frequency (%) |
| ↔ | 2 | |
| → | 1 | |
| ↓ | 1 |
Geometric Shapes Ext
| Value | Count | Frequency (%) |
| 🟩 | 1 | |
| 🟠 | 1 | |
| 🟣 | 1 | |
| 🟢 | 1 |
Modifier Letters
| Value | Count | Frequency (%) |
| ʻ | 1 |
Compat Jamo
| Value | Count | Frequency (%) |
| ㅅ | 1 |
Hiragana
| Value | Count | Frequency (%) |
| づ | 1 |
Math Alphanum
| Value | Count | Frequency (%) |
| 𝑬 | 4 | |
| 𝑶 | 2 | 8.3% |
| 𝑰 | 2 | 8.3% |
| 𝑳 | 2 | 8.3% |
| 𝟬 | 1 | 4.2% |
| 𝑻 | 1 | 4.2% |
| 𝑴 | 1 | 4.2% |
| 𝑩 | 1 | 4.2% |
| 𝑿 | 1 | 4.2% |
| 𝑪 | 1 | 4.2% |
| Other values (8) | 8 |
Playing Cards
| Value | Count | Frequency (%) |
| 🃏 | 1 |
Specials
| Value | Count | Frequency (%) |
| � | 4 |
PUA
| Value | Count | Frequency (%) |
| | 1 |
Braille
| Value | Count | Frequency (%) |
| ⠀ | 19 |
Geometric Shapes
| Value | Count | Frequency (%) |
| ◻ | 16 |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 91.8 KiB |
| JohnLegere | |
|---|---|
| elonmusk | |
| richardbranson | |
| Benioff | |
| jack |
Length
| Max length | 14 |
|---|---|
| Median length | 8 |
| Mean length | 8.709064577 |
| Min length | 4 |
Characters and Unicode
| Total characters | 102227 |
|---|---|
| Distinct characters | 22 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | elonmusk |
|---|---|
| 2nd row | elonmusk |
| 3rd row | elonmusk |
| 4th row | elonmusk |
| 5th row | elonmusk |
Common Values
| Value | Count | Frequency (%) |
| JohnLegere | 3351 | |
| elonmusk | 2157 | |
| richardbranson | 2009 | |
| Benioff | 1836 | |
| jack | 1442 | |
| levie | 943 | 8.0% |
Length
Pie chart
| Value | Count | Frequency (%) |
| johnlegere | 3351 | |
| elonmusk | 2157 | |
| richardbranson | 2009 | |
| benioff | 1836 | |
| jack | 1442 | |
| levie | 943 | 8.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 15932 | |
| n | 11362 | 11.1% |
| r | 9378 | 9.2% |
| o | 9353 | 9.1% |
| a | 5460 | 5.3% |
| h | 5360 | 5.2% |
| i | 4788 | 4.7% |
| s | 4166 | 4.1% |
| f | 3672 | 3.6% |
| k | 3599 | 3.5% |
| Other values (12) | 29157 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 93689 | |
| Uppercase Letter | 8538 | 8.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 15932 | |
| n | 11362 | |
| r | 9378 | |
| o | 9353 | |
| a | 5460 | 5.8% |
| h | 5360 | 5.7% |
| i | 4788 | 5.1% |
| s | 4166 | 4.4% |
| f | 3672 | 3.9% |
| k | 3599 | 3.8% |
| Other values (9) | 20619 |
Uppercase Letter
| Value | Count | Frequency (%) |
| J | 3351 | |
| L | 3351 | |
| B | 1836 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 102227 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 15932 | |
| n | 11362 | 11.1% |
| r | 9378 | 9.2% |
| o | 9353 | 9.1% |
| a | 5460 | 5.3% |
| h | 5360 | 5.2% |
| i | 4788 | 4.7% |
| s | 4166 | 4.1% |
| f | 3672 | 3.6% |
| k | 3599 | 3.5% |
| Other values (12) | 29157 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 102227 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 15932 | |
| n | 11362 | 11.1% |
| r | 9378 | 9.2% |
| o | 9353 | 9.1% |
| a | 5460 | 5.3% |
| h | 5360 | 5.2% |
| i | 4788 | 4.7% |
| s | 4166 | 4.1% |
| f | 3672 | 3.6% |
| k | 3599 | 3.5% |
| Other values (12) | 29157 |
| Distinct | 32 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.708808996 |
| Minimum | 0 |
|---|---|
| Maximum | 53 |
| Zeros | 5780 |
| Zeros (%) | 49.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 91.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 7 |
| Maximum | 53 |
| Range | 53 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.905496684 |
|---|---|
| Coefficient of variation (CV) | 1.700305119 |
| Kurtosis | 24.7553221 |
| Mean | 1.708808996 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 3.660959306 |
| Sum | 20058 |
| Variance | 8.441910978 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 5780 | |
| 1 | 1920 | 16.4% |
| 2 | 1296 | 11.0% |
| 3 | 837 | 7.1% |
| 4 | 554 | 4.7% |
| 5 | 393 | 3.3% |
| 6 | 251 | 2.1% |
| 7 | 193 | 1.6% |
| 8 | 120 | 1.0% |
| 9 | 103 | 0.9% |
| Other values (22) | 291 | 2.5% |
| Value | Count | Frequency (%) |
| 0 | 5780 | |
| 1 | 1920 | 16.4% |
| 2 | 1296 | 11.0% |
| 3 | 837 | 7.1% |
| 4 | 554 | 4.7% |
| 5 | 393 | 3.3% |
| 6 | 251 | 2.1% |
| 7 | 193 | 1.6% |
| 8 | 120 | 1.0% |
| 9 | 103 | 0.9% |
| Value | Count | Frequency (%) |
| 53 | 1 | < 0.1% |
| 38 | 1 | < 0.1% |
| 36 | 1 | < 0.1% |
| 31 | 1 | < 0.1% |
| 30 | 1 | < 0.1% |
| 27 | 2 | < 0.1% |
| 25 | 1 | < 0.1% |
| 24 | 7 | |
| 23 | 7 | |
| 22 | 2 | < 0.1% |
| Distinct | 33 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.374936105 |
| Minimum | 0 |
|---|---|
| Maximum | 42 |
| Zeros | 7273 |
| Zeros (%) | 62.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 91.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 2 |
| 95-th percentile | 7 |
| Maximum | 42 |
| Range | 42 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.79836894 |
|---|---|
| Coefficient of variation (CV) | 2.035271988 |
| Kurtosis | 23.03208099 |
| Mean | 1.374936105 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.757956869 |
| Sum | 16139 |
| Variance | 7.830868723 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 7273 | |
| 1 | 1437 | 12.2% |
| 2 | 882 | 7.5% |
| 3 | 557 | 4.7% |
| 4 | 396 | 3.4% |
| 5 | 311 | 2.6% |
| 6 | 228 | 1.9% |
| 7 | 156 | 1.3% |
| 8 | 122 | 1.0% |
| 9 | 85 | 0.7% |
| Other values (23) | 291 | 2.5% |
| Value | Count | Frequency (%) |
| 0 | 7273 | |
| 1 | 1437 | 12.2% |
| 2 | 882 | 7.5% |
| 3 | 557 | 4.7% |
| 4 | 396 | 3.4% |
| 5 | 311 | 2.6% |
| 6 | 228 | 1.9% |
| 7 | 156 | 1.3% |
| 8 | 122 | 1.0% |
| 9 | 85 | 0.7% |
| Value | Count | Frequency (%) |
| 42 | 1 | |
| 36 | 1 | |
| 33 | 2 | |
| 32 | 2 | |
| 31 | 1 | |
| 30 | 1 | |
| 29 | 1 | |
| 27 | 1 | |
| 26 | 1 | |
| 24 | 1 |
| Distinct | 14 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.02036121997 |
| Minimum | 0 |
|---|---|
| Maximum | 16 |
| Zeros | 11655 |
| Zeros (%) | 99.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 91.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 16 |
| Range | 16 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.3596470097 |
|---|---|
| Coefficient of variation (CV) | 17.66333305 |
| Kurtosis | 931.864852 |
| Mean | 0.02036121997 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 27.67940974 |
| Sum | 239 |
| Variance | 0.1293459716 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 11655 | |
| 1 | 44 | 0.4% |
| 2 | 11 | 0.1% |
| 3 | 9 | 0.1% |
| 6 | 4 | < 0.1% |
| 4 | 4 | < 0.1% |
| 7 | 3 | < 0.1% |
| 8 | 2 | < 0.1% |
| 15 | 1 | < 0.1% |
| 10 | 1 | < 0.1% |
| Other values (4) | 4 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 11655 | |
| 1 | 44 | 0.4% |
| 2 | 11 | 0.1% |
| 3 | 9 | 0.1% |
| 4 | 4 | < 0.1% |
| 5 | 1 | < 0.1% |
| 6 | 4 | < 0.1% |
| 7 | 3 | < 0.1% |
| 8 | 2 | < 0.1% |
| 10 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 16 | 1 | < 0.1% |
| 15 | 1 | < 0.1% |
| 12 | 1 | < 0.1% |
| 11 | 1 | < 0.1% |
| 10 | 1 | < 0.1% |
| 8 | 2 | |
| 7 | 3 | |
| 6 | 4 | |
| 5 | 1 | < 0.1% |
| 4 | 4 |
| Distinct | 24 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.62267848 |
| Minimum | 0 |
|---|---|
| Maximum | 36 |
| Zeros | 5100 |
| Zeros (%) | 43.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 91.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 6 |
| Maximum | 36 |
| Range | 36 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.280601971 |
|---|---|
| Coefficient of variation (CV) | 1.405455239 |
| Kurtosis | 11.87105571 |
| Mean | 1.62267848 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.498875148 |
| Sum | 19047 |
| Variance | 5.201145351 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 5100 | |
| 1 | 2394 | |
| 2 | 1389 | 11.8% |
| 3 | 996 | 8.5% |
| 4 | 667 | 5.7% |
| 5 | 417 | 3.6% |
| 6 | 266 | 2.3% |
| 7 | 198 | 1.7% |
| 8 | 103 | 0.9% |
| 9 | 64 | 0.5% |
| Other values (14) | 144 | 1.2% |
| Value | Count | Frequency (%) |
| 0 | 5100 | |
| 1 | 2394 | |
| 2 | 1389 | 11.8% |
| 3 | 996 | 8.5% |
| 4 | 667 | 5.7% |
| 5 | 417 | 3.6% |
| 6 | 266 | 2.3% |
| 7 | 198 | 1.7% |
| 8 | 103 | 0.9% |
| 9 | 64 | 0.5% |
| Value | Count | Frequency (%) |
| 36 | 1 | < 0.1% |
| 25 | 1 | < 0.1% |
| 21 | 1 | < 0.1% |
| 20 | 2 | < 0.1% |
| 19 | 2 | < 0.1% |
| 18 | 2 | < 0.1% |
| 17 | 4 | |
| 16 | 1 | < 0.1% |
| 15 | 6 | |
| 14 | 8 |
| Distinct | 22 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.66314534 |
| Minimum | 0 |
|---|---|
| Maximum | 25 |
| Zeros | 5477 |
| Zeros (%) | 46.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 91.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 7 |
| Maximum | 25 |
| Range | 25 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.436412536 |
|---|---|
| Coefficient of variation (CV) | 1.464942647 |
| Kurtosis | 7.884243427 |
| Mean | 1.66314534 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.317843759 |
| Sum | 19522 |
| Variance | 5.936106047 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 5477 | |
| 1 | 2104 | 17.9% |
| 2 | 1200 | 10.2% |
| 3 | 906 | 7.7% |
| 4 | 706 | 6.0% |
| 5 | 445 | 3.8% |
| 6 | 292 | 2.5% |
| 7 | 220 | 1.9% |
| 8 | 126 | 1.1% |
| 9 | 86 | 0.7% |
| Other values (12) | 176 | 1.5% |
| Value | Count | Frequency (%) |
| 0 | 5477 | |
| 1 | 2104 | 17.9% |
| 2 | 1200 | 10.2% |
| 3 | 906 | 7.7% |
| 4 | 706 | 6.0% |
| 5 | 445 | 3.8% |
| 6 | 292 | 2.5% |
| 7 | 220 | 1.9% |
| 8 | 126 | 1.1% |
| 9 | 86 | 0.7% |
| Value | Count | Frequency (%) |
| 25 | 1 | < 0.1% |
| 21 | 3 | < 0.1% |
| 20 | 5 | < 0.1% |
| 18 | 3 | < 0.1% |
| 17 | 5 | < 0.1% |
| 16 | 6 | 0.1% |
| 15 | 7 | 0.1% |
| 14 | 9 | 0.1% |
| 13 | 25 | |
| 12 | 18 |
| Distinct | 22 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.566195263 |
| Minimum | 0 |
|---|---|
| Maximum | 32 |
| Zeros | 4334 |
| Zeros (%) | 36.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 91.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 5 |
| Maximum | 32 |
| Range | 32 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.947313757 |
|---|---|
| Coefficient of variation (CV) | 1.243340343 |
| Kurtosis | 15.07779571 |
| Mean | 1.566195263 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.511473577 |
| Sum | 18384 |
| Variance | 3.792030867 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 4334 | |
| 1 | 2951 | |
| 2 | 1768 | |
| 3 | 1074 | 9.1% |
| 4 | 666 | 5.7% |
| 5 | 395 | 3.4% |
| 6 | 246 | 2.1% |
| 7 | 167 | 1.4% |
| 8 | 60 | 0.5% |
| 9 | 26 | 0.2% |
| Other values (12) | 51 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 4334 | |
| 1 | 2951 | |
| 2 | 1768 | |
| 3 | 1074 | 9.1% |
| 4 | 666 | 5.7% |
| 5 | 395 | 3.4% |
| 6 | 246 | 2.1% |
| 7 | 167 | 1.4% |
| 8 | 60 | 0.5% |
| 9 | 26 | 0.2% |
| Value | Count | Frequency (%) |
| 32 | 1 | < 0.1% |
| 24 | 2 | < 0.1% |
| 23 | 1 | < 0.1% |
| 22 | 1 | < 0.1% |
| 19 | 1 | < 0.1% |
| 17 | 1 | < 0.1% |
| 16 | 7 | |
| 15 | 1 | < 0.1% |
| 13 | 4 | |
| 12 | 3 |
| Distinct | 24 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.62267848 |
| Minimum | 0 |
|---|---|
| Maximum | 36 |
| Zeros | 5100 |
| Zeros (%) | 43.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 91.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 6 |
| Maximum | 36 |
| Range | 36 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.280601971 |
|---|---|
| Coefficient of variation (CV) | 1.405455239 |
| Kurtosis | 11.87105571 |
| Mean | 1.62267848 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.498875148 |
| Sum | 19047 |
| Variance | 5.201145351 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 5100 | |
| 1 | 2394 | |
| 2 | 1389 | 11.8% |
| 3 | 996 | 8.5% |
| 4 | 667 | 5.7% |
| 5 | 417 | 3.6% |
| 6 | 266 | 2.3% |
| 7 | 198 | 1.7% |
| 8 | 103 | 0.9% |
| 9 | 64 | 0.5% |
| Other values (14) | 144 | 1.2% |
| Value | Count | Frequency (%) |
| 0 | 5100 | |
| 1 | 2394 | |
| 2 | 1389 | 11.8% |
| 3 | 996 | 8.5% |
| 4 | 667 | 5.7% |
| 5 | 417 | 3.6% |
| 6 | 266 | 2.3% |
| 7 | 198 | 1.7% |
| 8 | 103 | 0.9% |
| 9 | 64 | 0.5% |
| Value | Count | Frequency (%) |
| 36 | 1 | < 0.1% |
| 25 | 1 | < 0.1% |
| 21 | 1 | < 0.1% |
| 20 | 2 | < 0.1% |
| 19 | 2 | < 0.1% |
| 18 | 2 | < 0.1% |
| 17 | 4 | |
| 16 | 1 | < 0.1% |
| 15 | 6 | |
| 14 | 8 |
| Distinct | 2104 |
|---|---|
| Distinct (%) | 17.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1083.109303 |
| Minimum | 0 |
|---|---|
| Maximum | 204414 |
| Zeros | 100 |
| Zeros (%) | 0.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 91.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 27 |
| median | 78 |
| Q3 | 236 |
| 95-th percentile | 3891.6 |
| Maximum | 204414 |
| Range | 204414 |
| Interquartile range (IQR) | 209 |
Descriptive statistics
| Standard deviation | 5788.531288 |
|---|---|
| Coefficient of variation (CV) | 5.344364849 |
| Kurtosis | 296.0133894 |
| Mean | 1083.109303 |
| Median Absolute Deviation (MAD) | 64 |
| Skewness | 14.07556516 |
| Sum | 12713537 |
| Variance | 33507094.47 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 3 | 164 | 1.4% |
| 5 | 154 | 1.3% |
| 2 | 152 | 1.3% |
| 6 | 139 | 1.2% |
| 1 | 137 | 1.2% |
| 12 | 132 | 1.1% |
| 4 | 119 | 1.0% |
| 8 | 119 | 1.0% |
| 9 | 118 | 1.0% |
| 7 | 117 | 1.0% |
| Other values (2094) | 10387 |
| Value | Count | Frequency (%) |
| 0 | 100 | |
| 1 | 137 | |
| 2 | 152 | |
| 3 | 164 | |
| 4 | 119 | |
| 5 | 154 | |
| 6 | 139 | |
| 7 | 117 | |
| 8 | 119 | |
| 9 | 118 |
| Value | Count | Frequency (%) |
| 204414 | 1 | |
| 151775 | 1 | |
| 144534 | 1 | |
| 117894 | 1 | |
| 111854 | 1 | |
| 104334 | 1 | |
| 102455 | 1 | |
| 89688 | 1 | |
| 88544 | 1 | |
| 86126 | 1 |
retweets_count
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 2627 |
|---|---|
| Distinct (%) | 22.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2762.580508 |
| Minimum | 0 |
|---|---|
| Maximum | 582467 |
| Zeros | 137 |
| Zeros (%) | 1.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 91.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 53 |
| median | 149 |
| Q3 | 439 |
| 95-th percentile | 11525.85 |
| Maximum | 582467 |
| Range | 582467 |
| Interquartile range (IQR) | 386 |
Descriptive statistics
| Standard deviation | 14467.5629 |
|---|---|
| Coefficient of variation (CV) | 5.236974219 |
| Kurtosis | 346.7118513 |
| Mean | 2762.580508 |
| Median Absolute Deviation (MAD) | 121 |
| Skewness | 14.24994382 |
| Sum | 32427170 |
| Variance | 209310376.2 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 137 | 1.2% |
| 1 | 99 | 0.8% |
| 3 | 91 | 0.8% |
| 2 | 88 | 0.7% |
| 4 | 79 | 0.7% |
| 27 | 75 | 0.6% |
| 24 | 66 | 0.6% |
| 19 | 63 | 0.5% |
| 5 | 63 | 0.5% |
| 6 | 62 | 0.5% |
| Other values (2617) | 10915 |
| Value | Count | Frequency (%) |
| 0 | 137 | |
| 1 | 99 | |
| 2 | 88 | |
| 3 | 91 | |
| 4 | 79 | |
| 5 | 63 | |
| 6 | 62 | |
| 7 | 54 | 0.5% |
| 8 | 60 | |
| 9 | 62 |
| Value | Count | Frequency (%) |
| 582467 | 1 | |
| 377180 | 1 | |
| 295702 | 1 | |
| 279902 | 1 | |
| 275873 | 1 | |
| 238014 | 1 | |
| 219620 | 1 | |
| 218913 | 1 | |
| 202697 | 1 | |
| 198533 | 1 |
| Distinct | 5092 |
|---|---|
| Distinct (%) | 43.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 26086.11424 |
| Minimum | 0 |
|---|---|
| Maximum | 4727301 |
| Zeros | 6 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 91.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 61.85 |
| Q1 | 390 |
| median | 971.5 |
| Q3 | 2815.75 |
| 95-th percentile | 126599 |
| Maximum | 4727301 |
| Range | 4727301 |
| Interquartile range (IQR) | 2425.75 |
Descriptive statistics
| Standard deviation | 120644.8036 |
|---|---|
| Coefficient of variation (CV) | 4.624866798 |
| Kurtosis | 259.0093154 |
| Mean | 26086.11424 |
| Median Absolute Deviation (MAD) | 734.5 |
| Skewness | 11.58416872 |
| Sum | 306198809 |
| Variance | 1.455516865 × 1010 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 15 | 19 | 0.2% |
| 236 | 17 | 0.1% |
| 133 | 15 | 0.1% |
| 17 | 15 | 0.1% |
| 5 | 15 | 0.1% |
| 6 | 15 | 0.1% |
| 3 | 15 | 0.1% |
| 135 | 15 | 0.1% |
| 234 | 14 | 0.1% |
| 98 | 14 | 0.1% |
| Other values (5082) | 11584 |
| Value | Count | Frequency (%) |
| 0 | 6 | 0.1% |
| 1 | 9 | |
| 2 | 7 | |
| 3 | 15 | |
| 4 | 10 | |
| 5 | 15 | |
| 6 | 15 | |
| 7 | 14 | |
| 8 | 9 | |
| 9 | 14 |
| Value | Count | Frequency (%) |
| 4727301 | 1 | |
| 2040534 | 1 | |
| 1827250 | 1 | |
| 1716459 | 1 | |
| 1659146 | 1 | |
| 1626953 | 1 | |
| 1600607 | 1 | |
| 1582826 | 1 | |
| 1574723 | 1 | |
| 1571504 | 1 |
| Distinct | 59 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.683591753 |
| Minimum | 1 |
|---|---|
| Maximum | 162 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 91.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 3 |
| Q3 | 7 |
| 95-th percentile | 20 |
| Maximum | 162 |
| Range | 161 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 7.062947174 |
|---|---|
| Coefficient of variation (CV) | 1.242690798 |
| Kurtosis | 42.53977616 |
| Mean | 5.683591753 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 4.079101092 |
| Sum | 66714 |
| Variance | 49.88522278 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 1 | 3143 | |
| 2 | 1953 | |
| 3 | 1270 | |
| 4 | 924 | 7.9% |
| 5 | 710 | 6.0% |
| 6 | 580 | 4.9% |
| 7 | 473 | 4.0% |
| 8 | 323 | 2.8% |
| 10 | 272 | 2.3% |
| 9 | 254 | 2.2% |
| Other values (49) | 1836 |
| Value | Count | Frequency (%) |
| 1 | 3143 | |
| 2 | 1953 | |
| 3 | 1270 | |
| 4 | 924 | 7.9% |
| 5 | 710 | 6.0% |
| 6 | 580 | 4.9% |
| 7 | 473 | 4.0% |
| 8 | 323 | 2.8% |
| 9 | 254 | 2.2% |
| 10 | 272 | 2.3% |
| Value | Count | Frequency (%) |
| 162 | 1 | |
| 133 | 1 | |
| 111 | 1 | |
| 97 | 1 | |
| 66 | 1 | |
| 61 | 1 | |
| 59 | 1 | |
| 57 | 1 | |
| 56 | 2 | |
| 53 | 1 |
| Distinct | 8848 |
|---|---|
| Distinct (%) | 75.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 89.83139474 |
| Minimum | 7.190000057 |
|---|---|
| Maximum | 891.3800049 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 91.8 KiB |
Quantile statistics
| Minimum | 7.190000057 |
|---|---|
| 5-th percentile | 10.02999973 |
| Q1 | 21.73499966 |
| median | 61.65500069 |
| Q3 | 94.46499825 |
| 95-th percentile | 258.6534882 |
| Maximum | 891.3800049 |
| Range | 884.1900048 |
| Interquartile range (IQR) | 72.72999859 |
Descriptive statistics
| Standard deviation | 124.0068076 |
|---|---|
| Coefficient of variation (CV) | 1.380439522 |
| Kurtosis | 15.30565764 |
| Mean | 89.83139474 |
| Median Absolute Deviation (MAD) | 37.94500065 |
| Skewness | 3.685889727 |
| Sum | 1054440.911 |
| Variance | 15377.68833 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 10 | 59 | 0.5% |
| 10.05000019 | 55 | 0.5% |
| 10.03999996 | 54 | 0.5% |
| 10.06000042 | 48 | 0.4% |
| 10.02999973 | 44 | 0.4% |
| 9.93999958 | 37 | 0.3% |
| 9.970000267 | 32 | 0.3% |
| 9.960000038 | 27 | 0.2% |
| 9.949999809 | 27 | 0.2% |
| 10.07999992 | 24 | 0.2% |
| Other values (8838) | 11331 |
| Value | Count | Frequency (%) |
| 7.190000057 | 1 | < 0.1% |
| 7.21999979 | 3 | |
| 7.25 | 2 | |
| 7.260000229 | 2 | |
| 7.285000086 | 1 | < 0.1% |
| 7.300000191 | 1 | < 0.1% |
| 7.313333352 | 1 | < 0.1% |
| 7.320000172 | 1 | < 0.1% |
| 7.329999924 | 1 | < 0.1% |
| 7.340000153 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 891.3800049 | 1 | |
| 883.0900269 | 1 | |
| 880.0200195 | 1 | |
| 870.3499756 | 1 | |
| 869.6699829 | 1 | |
| 869.4133301 | 1 | |
| 861.4466553 | 1 | |
| 858.0266724 | 1 | |
| 857.0766805 | 1 | |
| 856 | 1 |
| Distinct | 11086 |
|---|---|
| Distinct (%) | 94.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.0008214729126 |
| Minimum | -0.1795004093 |
|---|---|
| Maximum | 0.2690450286 |
| Zeros | 317 |
| Zeros (%) | 2.7% |
| Negative | 5398 |
| Negative (%) | 46.0% |
| Memory size | 91.8 KiB |
Quantile statistics
| Minimum | -0.1795004093 |
|---|---|
| 5-th percentile | -0.02550002682 |
| Q1 | -0.005426339969 |
| median | 0.0003730236163 |
| Q3 | 0.006739700593 |
| 95-th percentile | 0.02740150081 |
| Maximum | 0.2690450286 |
| Range | 0.4485454379 |
| Interquartile range (IQR) | 0.01216604056 |
Descriptive statistics
| Standard deviation | 0.01999743622 |
|---|---|
| Coefficient of variation (CV) | 24.3433909 |
| Kurtosis | 19.86526611 |
| Mean | 0.0008214729126 |
| Median Absolute Deviation (MAD) | 0.006054803716 |
| Skewness | 0.8883885413 |
| Sum | 9.642449048 |
| Variance | 0.0003998974554 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 317 | 2.7% |
| -0.0009940584955 | 13 | 0.1% |
| -0.000995047631 | 9 | 0.1% |
| -0.000996038737 | 8 | 0.1% |
| 0.000996038737 | 7 | 0.1% |
| 0.001001023935 | 7 | 0.1% |
| -0.001990095262 | 7 | 0.1% |
| 0.001004039041 | 7 | 0.1% |
| 0.001994063639 | 7 | 0.1% |
| 0.000995047631 | 6 | 0.1% |
| Other values (11076) | 11350 |
| Value | Count | Frequency (%) |
| -0.1795004093 | 1 | |
| -0.1788092986 | 1 | |
| -0.1759999814 | 1 | |
| -0.1708482385 | 1 | |
| -0.1557392633 | 1 | |
| -0.153645867 | 1 | |
| -0.1438071139 | 1 | |
| -0.13323572 | 1 | |
| -0.132510452 | 1 | |
| -0.1296987434 | 1 |
| Value | Count | Frequency (%) |
| 0.2690450286 | 1 | |
| 0.2324612465 | 1 | |
| 0.2148070316 | 1 | |
| 0.2021445682 | 1 | |
| 0.1939780135 | 1 | |
| 0.1875311318 | 1 | |
| 0.1715485869 | 1 | |
| 0.1694205865 | 1 | |
| 0.1677524808 | 1 | |
| 0.1662115397 | 1 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.First rows
| df_index | date | tweet | username | mentions | hashtags | cashtags | video | photos | urls | thumbnail | replies_count | retweets_count | likes_count | number of tweets | price | percent change | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 22 | 2016-08-23 16:00:00 | Journalist Q&A for 30 mins and embargo ends at 12:30 Tesla product announcement at noon California time today | elonmusk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 872 | 4640 | 13965 | 2 | 44.967999 | 0.002318 |
| 1 | 23 | 2016-08-28 09:30:00 | @Kotaku one of my favorite games as a kid @BelovedRevol Making progress. Maybe something to announce in a few months. Have played all prior Deus Ex. Not this one yet. | elonmusk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 68 | 137 | 789 | 2 | 44.162666 | 0.011081 |
| 2 | 24 | 2016-08-30 16:00:00 | Thanks for the longstanding faith in SpaceX. We very much look forward to doing this milestone flight with you. https://t.co/U2UFez0OhY | elonmusk | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 142 | 1839 | 7353 | 1 | 42.268002 | -0.022072 |
| 3 | 25 | 2016-08-31 16:00:00 | @Lockyep Not allowed, according to HK regulations. Happy to do it if regs change. We need to do one more minor rev on 8.0 and then will go to wide release in a few weeks Writing post now with details. Will publish on Tesla website later today. Major improvements to Autopilot coming with V8.0 and 8.1 software (std OTA update) primarily through advanced processing of radar signals @newscientist uh oh | elonmusk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 391 | 2021 | 10165 | 5 | 42.402000 | 0.007508 |
| 4 | 26 | 2016-09-01 16:00:00 | Loss of Falcon vehicle today during propellant fill operation. Originated around upper stage oxygen tank. Cause still unknown. More soon. | elonmusk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1159 | 4848 | 10743 | 1 | 40.153999 | -0.039424 |
| 5 | 27 | 2016-09-02 09:30:00 | @scrappydog yes. This seems instant from a human perspective, but it really a fast fire, not an explosion. Dragon would have been fine. Finishing Autopilot blog postponed to end of weekend | elonmusk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 426 | 588 | 3702 | 2 | 40.466000 | 0.007770 |
| 6 | 28 | 2016-09-09 09:30:00 | Will get back to Autopilot update blog tomorrow. @ashwin7002 @NASA @faa @AFPAA We have not ruled that out. @LewisChandlerDN nope, it wasn't me Particularly trying to understand the quieter bang sound a few seconds before the fireball goes off. May come from rocket or something else. Support & advice from @NASA, @FAA, @AFPAA & others much appreciated. Please email any recordings of the event to report@spacex.com. Important to note that this happened during a routine filling operation. Engines were not on and there was no apparent heat source. Still working on the Falcon fireball investigation. Turning out to be the most difficult and complex failure we have ever had in 14 years. @waitbutwhy It's been a little crazy lately | elonmusk | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1761 | 5752 | 20453 | 8 | 39.818001 | 0.008766 |
| 7 | 29 | 2016-09-09 16:00:00 | @abadcliche Most likely true, but we can't yet find it on any vehicle sensors | elonmusk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 23 | 189 | 1 | 38.894001 | -0.023206 |
| 8 | 30 | 2016-09-10 09:30:00 | Thoughtful Op-ed in Space News much appreciated https://t.co/CJq5g3NIEK | elonmusk | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 138 | 1400 | 3698 | 1 | 39.545334 | 0.016746 |
| 9 | 31 | 2016-09-10 16:00:00 | Will do some press Q&A on Autopilot post at 11am PDT tmrw and then publish at noon. Sorry about delay. Unusually difficult couple of weeks. | elonmusk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 321 | 845 | 5376 | 1 | 39.149334 | -0.010014 |
Last rows
| df_index | date | tweet | username | mentions | hashtags | cashtags | video | photos | urls | thumbnail | replies_count | retweets_count | likes_count | number of tweets | price | percent change | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 11728 | 3405 | 2021-07-15 16:00:00 | Big congratulations to @Candace_Parker! Can’t wait to buy! https://t.co/QNmxa35kMR See you never, Fleets! https://t.co/6bATAKXEvl | JohnLegere | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 5 | 106 | 2 | 148.339996 | -0.006696 |
| 11729 | 3406 | 2021-07-16 09:30:00 | Congratulations to @neilbarua and the @ServiceMax team!!! https://t.co/AFaIqM1I48 More additions to Clubhouse! Who still actively uses??! https://t.co/OCwsKhscIv | JohnLegere | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 8 | 45 | 2 | 148.089996 | -0.001685 |
| 11730 | 3407 | 2021-07-16 16:00:00 | Trust science! It’s important to continue staying safe, the COVID-19 pandemic isn’t over yet! https://t.co/HBhDZCbvrk BUT WHERE IS THE SOLID PINK HEART?!! https://t.co/wF8LWtG6dx | JohnLegere | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 36 | 22 | 161 | 2 | 149.410004 | 0.008914 |
| 11731 | 3408 | 2021-07-17 09:30:00 | Another step forward for accessibility on Twitter. https://t.co/kiC4DpDOL2 | JohnLegere | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 8 | 22 | 1 | 147.893331 | -0.010151 |
| 11732 | 3409 | 2021-07-17 16:00:00 | I finally found a way to go to the beach without having to go ON the beach (except to 🏊 in ocean of course) 🌞 🌊 https://t.co/IPXvQZVijB But how will I know when I’m going to get scammed?!! https://t.co/L0slvP3HPG My kind of charcuterie board! https://t.co/6BhW2V747Z Happy #WorldEmojiDay! Which is your favorite?? https://t.co/Px8HHWYOvE | JohnLegere | 0 | 1 | 0 | 1 | 2 | 3 | 1 | 45 | 24 | 340 | 4 | 147.810003 | -0.000563 |
| 11733 | 3410 | 2021-07-18 16:00:00 | Who’s subscribing?? https://t.co/bZr4a84P2X Hey New Yorkers – need an officiant?! https://t.co/PbBecmjgu0 is it possible that the ocean makes the morning coffee ☕️ even better than it's normal great? 😊 https://t.co/43jhIroufd | JohnLegere | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 141 | 27 | 1218 | 3 | 146.210002 | -0.010066 |
| 11734 | 3411 | 2021-07-19 09:30:00 | Number 16 is a movie night game changer!! https://t.co/9YJS0H383P | JohnLegere | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 32 | 1 | 147.500000 | 0.008823 |
| 11735 | 3412 | 2021-07-19 16:00:00 | Gorgeous! Maybe I should charter a magenta rocket. https://t.co/jx2ZL0gX6Q So I'm about to go for a run on the beach.....am i the only one that doesn't think these ☁️ mean 🌧 ☔️ is coming? https://t.co/fMxzuOZ0nF Always love a good Quesarito https://t.co/KaiMmXEc5q What I’ve learned from @Lifehacker is that I do EVERYTHING wrong! https://t.co/xAbzXxZhqZ | JohnLegere | 1 | 0 | 0 | 1 | 2 | 3 | 1 | 25 | 17 | 236 | 4 | 144.610001 | -0.019593 |
| 11736 | 3413 | 2021-07-20 09:30:00 | Call on John is POSTPONED for today but tune in on Thursday, July 22nd at 12 PM ET on Instagram Stories for an extra special Call on John! What do you want to see me give away?? https://t.co/4P3hucQ3io | JohnLegere | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 7 | 3 | 18 | 1 | 144.789993 | 0.001245 |
| 11737 | 3414 | 2021-07-20 16:00:00 | WOW this looks so delicious! https://t.co/hnOKodchlg Up up and away! https://t.co/jvRcpkqng3 | JohnLegere | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 28 | 9 | 115 | 2 | 144.399994 | -0.002694 |